메뉴 건너뛰기




Volumn , Issue , 2014, Pages 496-503

Generalized autoencoder: A neural network framework for dimensionality reduction

Author keywords

Autoencoder; Deep learning; Dimensionality reduction

Indexed keywords

COMPUTER VISION; DATA REDUCTION; DEEP LEARNING; DIMENSIONALITY REDUCTION; ITERATIVE METHODS; LEARNING SYSTEMS;

EID: 84908500543     PISSN: 21607508     EISSN: 21607516     Source Type: Conference Proceeding    
DOI: 10.1109/CVPRW.2014.79     Document Type: Conference Paper
Times cited : (400)

References (19)
  • 5
    • 33746600649 scopus 로고    scopus 로고
    • Reducing the dimensionality of data with neural networks
    • G. Hinton and R. Salakhutdinov. Reducing the dimensionality of data with neural networks. Science, 2006. 3, 4, 5, 6, 7
    • (2006) Science
    • Hinton, G.1    Salakhutdinov, R.2
  • 6
    • 0024880831 scopus 로고
    • Multilayer feedforward networks are universal approximators
    • K. Hornik. Multilayer feedforward networks are universal approximators. IEEE Transactions on Neural Networks, vol. 2, pp. 359-366, 1989. 7
    • (1989) IEEE Transactions on Neural Networks , vol.2 , pp. 359-366
    • Hornik, K.1
  • 10
    • 0000325341 scopus 로고
    • On lines and planes of closest fit to systems of points in space
    • K. Pearson. On lines and planes of closest fit to systems of points in space. Philosophical Magazine, 1901. 1, 3, 4, 6
    • (1901) Philosophical Magazine
    • Pearson, K.1
  • 12
    • 0034704222 scopus 로고    scopus 로고
    • Nonlinear dimensionality reduction by locally linear embedding
    • S. Roweis and L. Saul. Nonlinear dimensionality reduction by locally linear embedding. Science, 2000. 2, 3, 4, 5
    • (2000) Science
    • Roweis, S.1    Saul, L.2
  • 13
    • 0000646059 scopus 로고
    • Learning internal representations by error propagation
    • Foundations. MIT Press, Cambridge, MA
    • D. Rumelhart, G. Hinton, and R. Williams. Learning internal representations by error propagation. Parallel Distributed Processing. Vol 1: Foundations. MIT Press, Cambridge, MA, 1986. 2
    • (1986) Parallel Distributed Processing , vol.1
    • Rumelhart, D.1    Hinton, G.2    Williams, R.3
  • 15
    • 0034704229 scopus 로고    scopus 로고
    • A global geometric framework for nonlinear dimensionality reduction
    • J. Tenenbaum, V. de Silva, and J. Langford. A global geometric framework for nonlinear dimensionality reduction. Science, 2000. 2, 3, 4, 5
    • (2000) Science
    • Tenenbaum, J.1    De Silva, V.2    Langford, J.3
  • 16
    • 77949507946 scopus 로고    scopus 로고
    • Information retrieval perspective to nonlinear dimensionality reduction for data visualization
    • J. Venna, J. Peltonen, K. Nybo, H. Aidos, and S. Kaski. Information retrieval perspective to nonlinear dimensionality reduction for data visualization. Journal of Machine Learning Research, Vol. 11, 2010. 1
    • (2010) Journal of Machine Learning Research , vol.11
    • Venna, J.1    Peltonen, J.2    Nybo, K.3    Aidos, H.4    Kaski, S.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.